File size: 6,578 Bytes
d8229c6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 |
#!/usr/bin/env python3
"""
Test OpenAI integration
"""
import os
import json
from openai import OpenAI
def test_openai_connection():
"""Test basic OpenAI connection"""
api_key = os.getenv("OPENAI_API_KEY")
base_url = os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1")
if not api_key:
print("❌ 请先设置 OPENAI_API_KEY 环境变量")
print(" export OPENAI_API_KEY=your_api_key_here")
return False
try:
client = OpenAI(
api_key=api_key,
base_url=base_url
)
print(f"🔗 连接到: {base_url}")
print(f"🔑 API Key: {api_key[:4]}...{api_key[-4:]}")
# 测试简单的聊天完成
response = client.chat.completions.create(
model=os.getenv("OPENAI_MODEL", "gpt-4o-mini"),
messages=[
{"role": "user", "content": "Hello! Please respond with just 'OK' to confirm the connection."}
],
max_tokens=10,
temperature=0
)
result = response.choices[0].message.content.strip()
print(f"✅ 连接成功! 响应: {result}")
return True
except Exception as e:
print(f"❌ 连接失败: {e}")
return False
def test_scoring_function():
"""Test the scoring functionality similar to what's used in app.py"""
api_key = os.getenv("OPENAI_API_KEY")
if not api_key:
print("❌ 请先设置 OPENAI_API_KEY 环境变量")
return False
try:
client = OpenAI(
api_key=api_key,
base_url=os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1")
)
# 测试数据，类似app.py中的格式
test_challenges = [
{
"id": "test1",
"title": "Build a Python Web API",
"prize": 500.0,
"deadline": "2025-02-15",
"tags": ["python", "api", "web"],
"description": "Create a REST API using Python and FastAPI framework"
},
{
"id": "test2",
"title": "React Frontend Development",
"prize": 300.0,
"deadline": "2025-02-20",
"tags": ["react", "frontend", "javascript"],
"description": "Build a modern React application with responsive design"
}
]
scoring_prompt = (
"You are an expert Topcoder challenge analyst. Analyze items and rate match to the query.\n"
f"Query: python web development\n"
"Items: " + json.dumps(test_challenges) + "\n\n"
"Instructions:\n"
"- Consider skills, tags, and brief description.\n"
"- Higher prize is slightly better all else equal.\n"
"- Return ONLY JSON array of objects: [{id, score, reason}] where 0<=score<=1.\n"
"- Do not include any extra text."
)
print("🧪 测试智能评分功能...")
response = client.chat.completions.create(
model=os.getenv("OPENAI_MODEL", "gpt-4o-mini"),
messages=[
{"role": "system", "content": "You are a helpful assistant. Return JSON only."},
{"role": "user", "content": scoring_prompt}
],
temperature=0.2,
timeout=30
)
result = response.choices[0].message.content.strip()
print(f"📊 评分结果: {result}")
# 尝试解析JSON
try:
scores = json.loads(result)
print("✅ JSON解析成功!")
for item in scores:
print(f" - {item.get('id')}: 分数={item.get('score')}, 原因={item.get('reason')}")
return True
except json.JSONDecodeError as e:
print(f"❌ JSON解析失败: {e}")
return False
except Exception as e:
print(f"❌ 评分测试失败: {e}")
return False
def test_planning_function():
"""Test the planning functionality"""
api_key = os.getenv("OPENAI_API_KEY")
if not api_key:
print("❌ 请先设置 OPENAI_API_KEY 环境变量")
return False
try:
client = OpenAI(
api_key=api_key,
base_url=os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1")
)
# 测试数据
test_challenges = [
{
"title": "Build a Python Web API",
"prize": 500.0,
"deadline": "2025-02-15",
"tags": ["python", "api", "web"]
}
]
prompt = (
"You are a concise challenge scout. Given compact challenge metadata, output:\n"
"- Top 3 picks (title + brief reason)\n"
"- Quick plan of action (3 bullets)\n"
f"Constraints: keyword='python', min_prize>=100, within 30 days.\n"
f"Data: {json.dumps(test_challenges)}"
)
print("📋 测试计划生成功能...")
response = client.chat.completions.create(
model=os.getenv("OPENAI_MODEL", "gpt-4o-mini"),
messages=[
{"role": "system", "content": "You are a helpful, terse assistant."},
{"role": "user", "content": prompt}
],
temperature=0.3,
timeout=30
)
result = response.choices[0].message.content.strip()
print(f"📝 计划结果:\n{result}")
print("✅ 计划生成成功!")
return True
except Exception as e:
print(f"❌ 计划测试失败: {e}")
return False
def main():
print("🤖 OpenAI API 集成测试")
print("=" * 40)
# 测试基本连接
if not test_openai_connection():
print("\n❌ 基本连接测试失败，请检查配置")
return
print("\n" + "-" * 40)
# 测试评分功能
if not test_scoring_function():
print("❌ 评分功能测试失败")
return
print("\n" + "-" * 40)
# 测试计划功能
if not test_planning_function():
print("❌ 计划功能测试失败")
return
print("\n" + "=" * 40)
print("🎉 所有测试通过! OpenAI集成工作正常")
print("现在可以运行主应用: python app.py")
print("=" * 40)
if __name__ == "__main__":
main()
|